PD107 - PARTICIPATION OF RADIOLOGICAL TECHNOLOGISTS IN THE NUTRITION SUPPORT TEAM EXPANDS CT-BASED ASSESSMENT OF NUTRITIONAL STATUS BEYOND BMI IN GASTROINTESTINAL CANCER SURGERY PATIENTS
PD107
PARTICIPATION OF RADIOLOGICAL TECHNOLOGISTS IN THE NUTRITION SUPPORT TEAM EXPANDS CT-BASED ASSESSMENT OF NUTRITIONAL STATUS BEYOND BMI IN GASTROINTESTINAL CANCER SURGERY PATIENTS
T. Kurokawa1,*, M. Kaizuka2, S. Nakagawasai2, Y. Shike2, Y. Suzuki3, J. Kimura3, C. Inanuma4, S. Ono4, T. Matsumoto5, K. Suzuki5, A. Komatsu5, H. Sato5, S. Fujita6, E. Kunii6, M. Suketomo6, N. Kanzaki7
1Surgery, 2Radiology, 3Pharmacy, 4Nursing, 5Rehabilitation, 6Nutrition , Jyoban Hospital of Tokiwa Foundation, 7Surgery, Iwaki chuo Hospital of Tokiwa Foundation, Iwaki, Japan
Rationale: Nutritional assessment based only on body mass index (BMI) is insufficient in gastrointestinal cancer surgery patients. Because the Global Leadership Initiative on Malnutrition (GLIM) includes reduced muscle mass as a phenotypic criterion, computed tomography (CT)-based body composition assessment may complement conventional evaluation. Our nutrition support team (NST) includes radiological technologists, enabling CT-based assessment. We investigated whether this framework expanded assessment beyond BMI.
Methods: This single-center retrospective study included adults undergoing gastrointestinal cancer surgery. Radiological technologists analyzed preoperative CT images and contributed image-based interpretation during NST discussion. All patients underwent CT-based body composition assessment plus standard nutritional screening. Assessment incorporated BMI, skeletal muscle quantity, muscle quality, and adipose tissue characteristics. We evaluated the contribution of radiological technologists and CT-derived parameters against short-term postoperative outcomes.
Results: GLIM-oriented assessment was feasible in all patients. Participation of radiological technologists enabled routine use of CT-derived information beyond BMI, including skeletal muscle quantity, muscle quality, and fat-related parameters. Their involvement promoted image-based input within the NST and attention to qualitative abnormalities not reflected by BMI alone. In exploratory analyses, CT-derived indicators, particularly of muscle and fat quality, appeared clinically informative.
Conclusion: Participation of radiological technologists in the NST expanded assessment from a BMI-centered approach to comprehensive CT-based body composition evaluation. This multidisciplinary framework may strengthen GLIM-oriented assessment in routine perioperative practice.
Disclosure of Interest: None declared